Overview
The business diagnosis assistant is used to answer "how should this be done," automotive, car reviews, public opinion, and is suitable for operations, managers, manufacturing, and automotive to call after clarifying business goals, content materials, or analysis targets. It will combine vehicle model review content, pasted owner reviews, media reviews, competitor comments, sales feedback, or social media discussions. and other inputs, organize key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.
When to Use
Applicable Scenarios
- Users ask questions like "how should this be done," need to quickly break down goals, determine priorities, and form executable results
- Operations, managers, manufacturing, and automotive need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the business diagnosis assistant
- Users have already prepared uploaded review materials (uploaded review exports, competitor tables, word-of-mouth records, sales feedback, or survey forms.), vehicle model review content (pasted owner reviews, media reviews, competitor comments, sales feedback, or social media discussions.), vehicle model public links (filled-in publicly accessible vehicle model pages, review pages, word-of-mouth pages, or competitor pages.), and want to organize them into executable analysis or optimization results
- Users need to turn business diagnosis assistant-related materials into clear conclusions, priorities, and next-step actions
How to Call
Call the AI Skills API directly through the exported Python runner:
Command Example
Basic Call
python3 scripts/run.py --params '{}'
Call with Common Parameters
python3 scripts/run.py --params '{"autoReviewFile":"上传评价资料"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
autoReviewFile |
string | No | - | Uploaded review exports, competitor tables, word-of-mouth records, sales feedback, or survey forms |
autoReviewText |
string | No | - | Pasted owner reviews, media reviews, competitor comments, sales feedback, or social media discussions |
vehicleModelLink |
string | No | - | Fill in publicly accessible vehicle model pages, review pages, word-of-mouth pages, or competitor pages; a complete accessible URL is required |
competitorModelNotes |
string | No | - | Supplement with competitor selling points, user concerns, prohibited wording, financing policies, and delivery status |
sellingPointMapFocus |
string | No | 高频卖点 |
Select the direction that needs the highest priority in this vehicle model review selling point map; optional values:高频卖点、用户顾虑、竞品对比、销售话术 |
modelPositioningContext |
string | No | - | Describe the vehicle model, price range, competitors, target audience, region, and sales scenario |
See the complete machine-readable parameter structure in references/form-schema.json。
Parameter Value Reference
This skill currently has no categorical parameters that require an additional lookup table.
Supported Input Formats
This skill currently accepts JSON parameters directly; if a parameter contains a link field, pass a complete, accessible URL.
Example Request
The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.
python3 scripts/run.py --params '{"autoReviewFile":"上传评价资料"}'
Equivalent --params JSON:
{
"autoReviewFile": "上传评价资料"
}
Example Return Result
{
"success": true,
"data": {
"message": "示例结果请以技能真实返回结构为准。"
},
"meta": {
"executionTime": 842,
"cached": false
}
}
Deliverables
- Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
- Interpretation of input materials: combine uploaded review materials (uploaded review exports, competitor tables, reputation records, sales feedback, or research forms.), vehicle model review content (paste owner reviews, media evaluations, competitor comments, sales feedback, or social media discussions.), vehicle model public links (fill in publicly accessible vehicle model pages, review pages, reputation pages, or competitor pages.) to extract key context and bases for judgment.
- Next steps: provide priorities, execution recommendations, or a content framework that can continue to be refined.
Suggestions for Using the Results
- First determine whether the output answers the user's core questions about the "Business Diagnostic Assistant".
- Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are provided.
- If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.
Preparation Before Running
AISKILLS_BASE_URL: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault